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ORIGINAL RESEARCH article

Front. Endocrinol., 23 October 2023
Sec. Reproduction

Developmental, cytogenetic and epigenetic consequences of removing complex proteins and adding melatonin during in vitro maturation of bovine oocytes

Desmond A. R. Tutt,Desmond A. R. Tutt1,2Gizem Guven-Ates,Gizem Guven-Ates1,2Wing Yee Kwong,Wing Yee Kwong1,2Rob SimmonsRob Simmons3Fei SangFei Sang4Giuseppe SilvestriGiuseppe Silvestri5Carla Canedo-RibeiroCarla Canedo-Ribeiro5Alan H. HandysideAlan H. Handyside5Remi LabrecqueRemi Labrecque6Marc-Andr SirardMarc-André Sirard7Richard D. Emes,Richard D. Emes1,2Darren K. GriffinDarren K. Griffin5Kevin D. Sinclair,*Kevin D. Sinclair1,2*
  • 1School of Biosciences, University of Nottingham, Sutton Bonington, United Kingdom
  • 2School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom
  • 3Paragon Veterinary Group, Carlisle, United Kingdom
  • 4School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
  • 5School of Biosciences, University of Kent, Canterbury, United Kingdom
  • 6L’Alliance Boviteq Inc., Saint-Hyacinthe, QC, Canada
  • 7CRDSI, Département des Sciences Animales, Faculté des sciences de l’agriculture et de l’alimentation, Université Laval, Quebec City, QC, Canada

Background: In vitro maturation (IVM) of germinal vesicle intact oocytes prior to in vitro fertilization (IVF) is practiced widely in animals. In human assisted reproduction it is generally reserved for fertility preservation or where ovarian stimulation is contraindicated. Standard practice incorporates complex proteins (CP), in the form of serum and/or albumin, into IVM media to mimic the ovarian follicle environment. However, the undefined nature of CP, together with batch variation and ethical concerns regarding their origin, necessitate the development of more defined formulations. A known component of follicular fluid, melatonin, has multifaceted roles including that of a metabolic regulator and antioxidant. In certain circumstances it can enhance oocyte maturation. At this stage in development, the germinal-vesicle intact oocyte is prone to aneuploidy and epigenetic dysregulation.

Objectives: To determine the developmental, cytogenetic and epigenetic consequences of removing CP and including melatonin during bovine IVM.

Materials and methods: The study comprised a 2 x 2 factorial arrangement comparing (i) the inclusion or exclusion of CP, and (ii) the addition (100 nM) or omission of melatonin, during IVM. Cumulus-oocyte complexes (COCs) were retrieved from stimulated cycles. Following IVM and IVF, putative zygotes were cultured to Day 8 in standard media. RNAseq was performed on isolated cumulus cells, cytogenetic analyses (SNP-based algorithms) on isolated trophectoderm cells, and DNA methylation analysis (reduced representation bisulfite sequencing) on isolated cells of the inner-cell mass.

Results: Removal of CP during IVM led to modest reductions in blastocyst development, whilst added melatonin was beneficial in the presence but detrimental in the absence of CP. The composition of IVM media did not affect the nature or incidence of chromosomal abnormalities but cumulus-cell transcript expression indicated altered metabolism (primarily lipid) in COCs. These effects preceded the establishment of distinct metabolic and epigenetic signatures several days later in expanded and hatching blastocysts.

Conclusions: These findings highlight the importance of lipid, particularly sterol, metabolism by the COC during IVM. They lay the foundation for future studies that seek to develop chemically defined systems of IVM for the generation of transferrable embryos that are both cytogenetically and epigenetically normal.

1 Introduction

In vitro maturation (IVM) of germinal vesicle (GV) intact oocytes prior to in vitro fertilization (IVF) is practiced commonly in livestock species (1). In cattle, GV oocytes are collected either from abattoir derived ovaries (a by-product of meat production) or by transvaginal follicular aspiration (ovum pickup; OPU) from living donors (2, 3). Historically, IVM has proven to be technically more challenging in human assisted reproduction (ART) (4) and so is practiced less widely; the procedure being used mostly for fertility preservation or where ovarian stimulation is contraindicated (57). However, recent advances in oocyte recovery and IVM culture methods have meant that IVM is beginning to gain traction in human ART (8, 9).

During IVM, GV oocytes, arrested at the diplotene stage of prophase I, undergo meiotic resumption and transit towards metaphase II prior to IVF (10). In normal ovarian cycles leading to spontaneous ovulation, these cytogenetic events coincide with a carefully choreographed series of cytoplasmic and molecular modifications within the oocyte, as well as molecular/metabolic exchanges between the oocyte and surrounding follicular cells. Such events occur over several days and ultimately determine the post-fertilization developmental competency of the egg (1113). Follicular aspiration for recovery of GV oocytes and IVM truncates these processes and subjects the maturing oocyte to suboptimal physiological conditions that currently represent a poor facsimile of the natural environment offered by the ovarian follicle.

For the most part, commonly employed protocols rely on relatively basic media for both livestock (2) and human (5) IVM. These protocols generally utilize readily available commercial base medium (2, 14) and include FSH to promote oocyte maturation (15). However, the follicle-enclosed oocyte that matures in vivo is exposed, naturally, to a more complex and dynamic microenvironment comprising a myriad of stimuli from hormones, growth factors, lipids, antioxidants and other metabolites (1622). These arise through interactions with surrounding fluids, resident cumulus, granulosa and theca cells (23, 24). This reliance on multiple interactions, along with the oocyte’s changing metabolic requirements during maturation, renders the formulation of a physiologically relevant and effective IVM medium particularly challenging.

As a substitute for the complex interplay with follicular fluid components, undefined biological protein complexes are frequently added to IVM media. In the case of livestock IVM, this primarily comes in the form of fetal calf serum and/or albumin (25, 26) and, to a lesser extent, follicular fluid (27). Human IVM on the other hand has relied predominantly on maternal serum and/or albumin, or human follicular fluid (5). The addition of such complex proteins (CP) presents several issues, not least of which relates to ethical concerns regarding their origin (28). Their undefined nature and biological variation between batches contribute to poorly reproducible results (29). Therefore, removal of CP from IVM media can be considered a necessary first step required to introduce future specific refinements to this stage of in vitro embryo production (IVP). As a biological material, CP also confer a risk of disease transmission (30), and there are concerns relating to potential adverse epigenetic effects on offspring such as, but not limited to, those associated with Large Offspring Syndrome reported in livestock (31, 32).

A component of follicular fluid with a myriad of effects on the follicular environment is melatonin, which interacts with thecal (33), granulosa (34, 35) and cumulus (36, 37) cells, together with the oocyte itself (38, 39). Levels of melatonin in follicular fluid are linked to oocyte developmental capacity (40, 41). Specifically, the addition of melatonin to livestock IVM media in the presence of CP can reduce reactive oxygen species (ROS) (38, 42). It can alter metabolism, particularly lipid utilization and storage (43, 44), leading to improved oocyte maturation (38, 45) and embryo development (45, 46). Improvements in oocyte and embryo development have also been reported when melatonin is included in human IVM media (47, 48). Here, melatonin is of particular interest in cases of PCOS, given that abnormally low concentrations of this indolamine in follicular fluid are a characteristic feature of PCOS (49, 50). Indeed, the addition of melatonin to IVM media improved embryo implantation rates for oocytes retrieved from PCOS patients (51). However, melatonin effects during cell culture are modified in the absence of CP (52, 53), but how such interactions influence IVM is not yet known.

The foregoing discussion highlights the need to develop more chemically defined systems of IVM for mammalian GV-stage oocytes that limit or eliminate the use of CP. Moreover, we need to understand how this may modify the effects of remaining IVM components. With these thoughts in mind, the current article reports on the first of a series of ongoing experiments that seek to develop more chemically defined systems of IVM for the laboratory production of embryos (IVP). Two aspects are considered: the first relates to the complete removal of CP from our standard IVM media (54, 55) to be replaced with polyvinylpyrrolidone (PVP) as a macromolecule. The rationale was to determine how well oocytes would mature, and embryos develop, following IVF under these minimal conditions. The cytogenetic and epigenetic status of advanced (potentially transferable) blastocysts was also of interest as we previously reported that these can be affected by IVM in our culture system (55, 56), and may be predictive of pregnancy outcomes upon embryo transfer (57, 58). The second aspect considered the developmental, molecular and metabolic effects of adding melatonin to both CP containing media (which we hypothesized would be beneficial), and to defined media (i.e., with PVP), for which there is limited information. We report (i) the potential to generate modest yields of transferrable quality embryos in the absence of CP; (ii) beneficial effects of melatonin in the presence but detrimental effects in the absence of CP; and (iii) no effect of IVM media composition on the incidence of chromosomal abnormalities but altered metabolism (primarily lipid) in cumulus-oocyte-complexes (COC) which manifests as distinct metabolic and epigenetic signatures several days later in expanded and hatching blastocysts. These findings highlight the importance of lipid metabolism by the COC during IVM and lay the foundation for future studies that seek to develop defined systems of IVM that lead to the generation of transferrable embryos which are both cytogenetically and epigenetically normal.

2 Materials and methods

2.1 Generic considerations

All animal procedures adhered to the Animals (Scientific Procedures) Act, 1986. Associated protocols complied with the ARRIVE guidelines and were approved by the University of Nottingham Animal Welfare and Ethical Review Body (AWERB) with project licensed authority (PDBF3E539; 29/05/2019). All chemicals and reagents were sourced through Sigma-Aldrich Company Ltd (Dorset, UK) unless otherwise specified.

2.2 Experimental design, animals, estrous synchronization and ovarian stimulation

Cumulus-oocyte complexes (COCs) utilized in this study were retrieved from four cycles of ultrasound guided, transvaginal follicular aspiration (Ovum Pick-Up; OPU) involving eight 13-16 month-old post-pubertal Holstein-Friesian heifers. These animals were bred and accommodated at the University of Nottingham dairy farm and fed a standard grass/maize silage-based diet formulated to meet the nutrient requirements of young heifers growing at around 0.8 kg/d (59).

Heifers were paired at random for the purposes of COC allocation to each of four in vitro maturation (IVM) treatment groups. This allocation was rotated at the end of each of the four cycles so that oocytes from each donor were allocated to each of the four treatments during the study. Oocytes were matured, fertilized, and zygotes cultured to the blastocyst stage whilst retaining individual donor identity. This involved using separate maturation vials and culture wells for each donor. The study consisted of a 2 x 2 factorial arrangement which compared (i) the inclusion (+CP) or exclusion (-CP) of complex proteins (derived from serum and albumin) and (ii) the addition (+M; 100 nM) or omission (-M) of melatonin, both during in vitro maturation (IVM).

Estrous cycles were synchronized initially by insertion of an intravaginal progesterone device (PRID® Delta, CEVA Santé Animale, Libourne, France; impregnated with 1.55g P4) and 125 µg GnRH i.m. (Acegon, Zoetis UK Ltd, Leatherhead, UK) (both administered on Day -12), followed by 150 µg prostaglandin i.m. (Prelim, Zoetis UK Ltd, Leatherhead, UK) administered on Day -6, and PRID® Delta withdrawal and a second prostaglandin injection (both on Day -5). A second GnRH injection was then administered on Day -4, and ablation (aspiration) of all follicles ≥ 5 mm in diameter (dominant follicle removal; DFR) was undertaken on Day 0. Each heifer received a PRID® Delta following DFR and ovarian stimulation commenced 48h later. This involved six injections (i.m.) of follicle stimulating hormone (FSH; Folltropin, 70IU dose per injection, Vetoquinol UK Ltd, Towcester, UK) given at 12 h intervals. The first session of OPU was undertaken approximately 38-42 h following the final FSH injection. All OPU procedures were undertaken in a dedicated theatre where the ambient temperature was maintained between 30 and 34°C. Following OPU, a replacement PRID® Delta was inserted and the subsequent cycle of DFR commenced eight days later.

2.3 Collection and grading of COCs

Cumulus-oocytes complexes were aspirated as described previously (55, 60). Briefly, OPU used a Cook Medical vacuum pump with a 7.5 MHz ultrasound scanner (Exapad, IMV Imaging, Glasgow, UK) with aspiration pressure set at -70 mmHg. COCs were aspirated through an 18G needle and 1.4 m of 1.4 mm (I.D.) silicone tubing into 5 mL of Tyrodes lactate-based aspiration media, as described previously (60). OPU aspirants were passed through a heated (~37°C) filter, and filtrates transferred to 100 mm petri dishes on a heated stage (~38°C) for COC retrieval. COCs were graded 1-4 according to (61, 62). All COCs with sparse, expanded or absent cumulus or with fragmented, pale or irregular cytoplasm were classed grade 4 and rejected.

2.4 In vitro embryo production

Grade 1 COCs were trimmed using an 18-G needle to approximately 5 layers of cumulus cells (CCs). Removed CCs were collected into Ca2+/Mg2+ free PBS/0.1% PVP (PBS/PVP) on ice, and later washed in PBS/PVP, pelleted (by centrifugation) and stored at -80°C.

Base media for oocyte maturation was HEPES buffered TCM199 supplemented with 0.2 mM pyruvate, 50 µg/mL gentamicin, 5 µg/mL FSH, 0.5 µg/mL LH (Lutropin-v, Bioniche Animal Health), 1 µg/mL E2, and 2.5 mM L-carnitine [as described previously (54)]. Base media was further modified to create the four aforementioned-treatment groups. Media containing ‘Complex Proteins’ (+CP) included 10% (v/v) FBS [Gibco (10082139)] and 4 mg/mL fatty acid free BSA (MP Biomedicals (9048-46-8) California, USA). In contrast, ‘Defined Media’ (-CP) included 4 mg/mL polyvinylpyrrolidone (average mol wt. 40,000; PVP40) as a substitute for CP. Melatonin (Sigma-Aldrich; M5250, Lot SLCC7825) was added at 100nM in line with previous studies that reported positive effects at this concentration during IVM and IVC (39, 42). Thus, the four IVM treatment combinations were: Complex Proteins (+CP-M), CP plus Melatonin (+CP+M), Defined Media (-CP-M), and Defined Media plus Melatonin (-CP+M). Oocyte maturation was completed in screw top cryovials (Thermo Fisher Scientific Inc. Loughborough, UK) at atmospheric CO2 and 38.5°C for 23-24 h (55, 60).

Following maturation, oocytes were gently drawn into a fine-bore glass pipette to remove expanded CCs, leaving the corona radiata intact. Cumulus cells were washed through 50 µl drops of PBS/PVP and collected into PBS/PVP on ice and later pelleted and stored at -80°C. Oocytes were transferred to Tyrodes lactate-based fertilization media and inseminated with gradient purified sperm from a single sire (55, 60). Briefly, frozen-thawed semen from a single bull was prepared by centrifugation through a 45%/90% gradient (BoviPure; Nidacon International AB, Mölndal, Sweden). Fertilization occurred in 50 μL drops (maximum of 5 oocytes per drop) of modified Tyrode’s lactate media under oil (final concentration of 70,000 sperm per drop). These gametes were co-cultured for 18-21 h in a humified environment of 5% CO2 in air at 38.5°C. Resultant zygotes were cultured in SOF based sequential media in drops under oil maintained in a humidified environment at 6.8% CO2, 5% O2 and 38.5°C, with media changed at 72, 120 and 168 h (55). Embryos were cultured at no more than 11 per 10 μL drop for the first two media changes, and then transferred to 20 μL drops (Day 6) following the final media change. Embryo development was assessed at 48 and 120 h and blastocysts assessed for stage and quality in accordance with the International Embryo Transfer Society (IETS) guidelines for bovine embryo assessment (63) at 168 h. The most advanced blastocysts (up to 4/donor/cycle) were immuno-dissected (55), and inner cell mass (ICM) and trophectoderm (TE) samples frozen individually in 4 µl PBS at -80°C for later DNA methylation (ICM) or karyotype/mtDNA (TE) analyses. All remaining blastocysts were pooled (by donor) in 4 µl PBS, and frozen at -80°C. Spent media drops were collected and pooled by treatment, and frozen at -80°C for metabolic analyses.

2.5 RNAseq analyses of cumulus cells

Cumulus cell pellets were thawed, cells lysed and RNA extracted using PicoPure RNA Isolation Kit (Thermo Fisher Scientific Inc.) as per manufacturer’s instructions for cell pellets. For each sample cDNA was generated from 100ng of total RNA using the QuantSeq 3’ mRNA-Seq library prep kit for Illumina (FWD) (Lexogen GmbH, Vienna, Austria) following the manufacturer’s instructions. Libraries were then sequenced on the Illumina NextSeq 500 (Illumina, San Diego, USA) using a NextSeq 500 High Output v2.5 75 cycle kit (Illumina) to generate approximately 5 million 75bp single-end reads per library.

Raw reads were aligned to the Bos taurus ARS_UCD1.2 reference genome, using the Bluebee Genomics Analysis Platform (https://www.bluebee.com/lexogen) according to the manufacturer’s instructions, with unique and correctly aligned reads being taken into the counts file. DESeq2 (version: 1.24.0) was used to detect the differentially expressed genes for each comparison using default settings. Gene enrichment analysis used ShinyGo v0.76.3 (http://bioinformatics.sdstate.edu/go/) (64) with a minimum pathway size of 2 and FDR cutoff of 0.05 to identify pathways enriched for genes differentially expressed between treatments. Heatmaps were performed using bespoke R scripts using heatmap.2 from the gplots package v 3.0.1 (65).

2.6 Chromosomal errors and mitochondrial DNA copy number in the trophectoderm

Isolated TEs were employed for whole genome amplification (WGA) (55). The WGA DNA output was split for SNP array analysis (and subsequent chromosomal analysis), and for mitochondrial copy number analysis. SNP array analyses were performed by Neogen Europe Ltd (Ayr, Scotland, UK) as described previously (55), with the exception that the chip used was a GeneSeek® GGP Bovine 100K SNP (Illumina, Cambridge, UK). The resultant data was used for chromosomal error analyses, as described previously (55, 58). Briefly, chromosomal abnormalities were detected by applying three PGT-A algorithms for each embryo: signal intensity data B-Allele Frequency (BAF) and Log R Ratio (LRR) graphs, Karyomapping (66), and Gabriel-Griffin plots (67). BAF and LRR were employed to detect copy number variations, whereas Karyomapping was used to investigate the parental origin (maternal or paternal) of each abnormality and for detection of triploidy and uniparental disomy. Gabriel-Griffin plots were also employed to understand the meiotic origin of trisomies (MI, MII, or mitotic). For each abnormality, mosaicism state was inferred through the LRR values.

Due to the limited number of SNPs available for chromosome Y, this chromosome was not analyzed by Karyomapping as haploblock tracing was not possible. Paternal chromosome X errors were also not characterized by Karyomapping due to the inability to perform haploblock tracing, as in the sire, sex chromosomes are present in a single copy.

Mitochondrial DNA copy number was determined by qPCR using primers for the mitochondrial gene NADH dehydrogenase subunit 4 (ND4) (F: CTCGCCTTCCTTTACACGGGA, R: GCAGTTCTTGCATACTTTTTCGGTA), normalized to a single copy-number gene (Protein arginine N-methyltransferase 7 (PRMT7)) (F: TGGCAAGGCTGCTTTTCTCT, R: ACCTTGCAATCTCCTGGTGG). PCR conditions were 95°C for 2 min, followed by 40 cycles at 95°C for 5s and 60°C for 10s, then a final cycle of 95°C for 10s, followed by a melt curve of 65°C to 95°C at 0.5 °C increments. To generate a standard curve, ND4 and PMRT7 were amplified from WGA DNA and purified using the Zymoclean gel DNA recovery kit (Zymo Research, Irvine, USA) according to the manufacturer’s instructions. PCR products were then sequenced to confirm identity prior to quantification using the Qubit HS dsDNA assay kit (Thermo Fisher Scientific Inc.). A standard curve (6 points of 5-fold serial dilution 1 x10-5 to 3.2 x 10-9 copies per reaction) was incorporated with each qPCR, and samples run in duplicate. Amplification efficiencies for both genes were >95%.

2.7 ICM reduced representation bisulfite sequencing

In order to generate RRBS libraries, DNA was extracted from pools of five stage-matched ICMs to form three ‘biological replicates’ across the four treatment groups. Within each ‘biological replicate’, ICMs were derived from the same four donor animals for each of the four treatments. Libraries were prepared based on (56). Briefly, extracted DNA from pooled ICMs (in 20 µl PBS within a single tube) underwent restriction enzyme (MspI) digestion, end-repair, dA tailing, adaptor ligation, and bisulfite conversion (68). Unmethylated-DNA (8 pg/µL, Promega, Southampton, UK) was added to samples prior to MSP1 digestion to monitor completeness of bisulfite conversion. Bisulfite converted DNA was then amplified by PCR with KAPA HiFi uracil+ (Roche Diagnostics Ltd, West Sussex, UK) for 22 cycles, followed by size selection of 150-600 bp amplified DNA fragments and primer adapter removal using the BluePippin system (Sage Science, Beverly, MA, USA). Final RRBS libraries (x12) were sequenced to a depth of ~80 million 150 bp paired-end reads using an Illumina NovaSeq6000 S4 platform (Novogene, Cambridge, UK).

Bioinformatic analyses: Multiplexed sequencing reads were trimmed to remove adapter sequences and low-quality bases using skewer with commands (-Q 20, -q 3) (69). Trimmed reads were aligned to the bovine reference genome (Bta.ARS-UCD1.2.97) using bisulfite read mapper Bismark (70) using default settings. Duplicate reads were marked using the MarkDuplicates module of Picard tools [https://broadinstitute.github.io/picard/] and methylation values extracted using bismark_methylation_extractor module (commands –no_overlap –paired-end). Methylation values were extracted from output SAM format files using methylKit (71) (nolap=TRUE, mincov=5, minqual=20). To avoid methylation differences being called which may be related to underlying genetic differences of cells analyzed, bases at known variant positions (as reported in Bta.ARS-UCD1.2.97) were removed. Differentially methylated cytosines (minimum difference of >10% (7274); between groups were identified using limma (75) and annotated using the genomation package (76). Gene enrichment analysis of ‘Biological Process’ gene ontology terms was performed using GeneTrail (77) overrepresentation enrichment algorithm with a significance value of 0.05 adjusted as per (78), with a size category minimum of 2 and maximum of 700.

2.8 Spent media glucose and amino acid analyses

Spent and control media from two replicates were analyzed for glucose concentration. Media were thawed at room temperature and immediately diluted 1:25 in PBS and analyzed using a commercial glucose assay (GlucoseGlo, Promega, Southampton, UK) according to the manufacturer’s instructions and measured on a luminescent plate reader (Spectramax 5 – Molecular Devices, San Jose, USA). Spent and control media from three replicates were analyzed for amino acid concentration as previously described (79, 80) but modified to account for small sample volume. Briefly, media were thawed at room temperature and 24 µL used for assay. To this, 6uL solution of mixture of internal standards Norleucine (1mM) and 5-sulphosalicylic acid (60mg/mL) was added, and incubated at 4°C for 60 min. It was then centrifuged at 13000 rpm for 15 minutes. Amino acids in the top layer were then measured using a Biochrom 20+ amino acid analyzer (Biochrom Ltd, Cambridge). EZChrom Elite Software (Agilent Technologies, Inc., Santa Clara, CA) was used for peak integration.

2.9 Statistical analyses

Analyses were performed using the GenStat statistical package (21st Edition, VSN International, 2022; https://www.vsni.co.uk/). All data associated with embryo development were analyzed using restricted maximum likelihood (REML) generalized linear mixed models that, in the case of proportions, assumed binomial errors and used logit-link functions. In the case of counts, models assumed Poisson errors (with log-link functions) and normal errors for metabolic and molecular data. ‘Donor’ formed the random effect in these models, whereas fixed effect terms were ‘Cycle’, ‘Media’ (Complex vs Defined), ‘Melatonin’ (Present vs Absent), and interactions between these two latter terms. Data are presented as means ± SEM.

3 Results

Briefly, to reiterate, this study consisted of a 2 x 2 factorial arrangement that compared (i) the inclusion (+CP) or exclusion (-CP) of ‘complex proteins’ (derived from serum and albumin) and (ii) the addition (+M; 100 nM) or omission (-M) of melatonin, both during IVM. Cumulus oocyte complexes (COCs) were retrieved from stimulated (‘coasted’) cycles of OPU as described. Following IVF, zygotes were cultured to the blastocyst stage whilst retaining individual donor identity.

3.1 Melatonin interacts with complex proteins during IVM to affect embryo development

Over the course of four OPU cycles, 420 GV oocytes were collected, matured and inseminated leading to the production of 254 blastocysts. The absence of CP in maturation media had no significant effect on the overall percentage of oocytes that cleaved following insemination by Day 2 of culture, although there was an indication (p=0.059) that the presence of melatonin during IVM reduced the percentage cleaved (Table 1). However, of oocytes cleaved, a greater (p < 0.001) percentage of those matured in the presence than absence of CP had progressed beyond the 6-cell stage (57.5 ± 6.72 vs 27.0 ± 5.36). There also appeared (p = 0.092) to be an interaction between CP and melatonin on the developmental progress of cleaved embryos, whereby adding melatonin in the presence of CP increased the percentage of embryos that developed beyond the 4-cell stage, whilst adding melatonin in the absence of CP decreased this percentage (Table 1).

TABLE 1
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Table 1 Effect of the presence or absence of complex proteins (CP), with or without 100 nM added melatonin, during in vitro oocyte maturation on subsequent embryo development to Day 8 following in vitro fertilization.

Similar trends were observed at Day 6, with a greater (p = 0.032) percentage of inseminated oocytes progressing to and beyond the 12-cell stage in the presence than absence of CP. An interaction (p = 0.028) between CP and melatonin indicated that, whereas the inclusion of melatonin in IVM media containing CP increased the percentage of Day 6 blastocysts, its inclusion to defined IVM media (i.e., in the absence of CPs) decreased blastocyst yields (Table 1). This interaction was also evident by Day 8, for both Day 8 blastocysts as a percentage of Day 6 embryos (P=0.035) and hatched (i.e., IETS Stage 9) blastocysts of Day 8 blastocysts (p = 0.019). In general, however, the percentage of embryos that developed to advanced stages was greater in the presence than absence of CPs (Table 1).

3.2 Removal of CP during IVM alters transcripts involved in lipid and steroid metabolism in cumulus cells

Transcript expression was determined by 3’ mRNA-sequencing using RNA extracted from cumulus cells (CC) trimmed from Grade 1 COCs immediately before and following IVM. Cumulus cell transcript expression changed substantially following IVM. Between pre- and post-maturation 8,777 genes were differentially expressed, with 4,760 upregulated and 4,017 downregulated post-maturation (Figure 1A). Gene enrichment analysis of all differentially expressed transcripts post maturation highlighted upregulated transcripts within KEGG pathways associated with cell signaling in general, and downregulated transcripts within KEGG pathways associated with various aspects of cellular metabolism (Top 20 KEGG pathways represented; Figures 1B, C). When gene enrichment analysis was limited to transcripts upregulated >4-fold post maturation, more than 70 KEGG pathways were identified (Supplementary Figure 1A). These related mostly to processes such as inflammation, cytokine/immune response, cell proliferation, extracellular matrix (ECM), and intra-cellular signaling. In comparison, only seven KEGG pathways were identified for genes downregulated by >4-fold (Supplementary Figure 1B). These include genes involved in meiosis, nitrogen and glutathione metabolism, and cell cycle regulation.

FIGURE 1
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Figure 1 (A) Heatmap depicting cumulus-cell gene expression before and after in vitro maturation; (B) Top 20 KEGG pathways enriched for genes up regulated following maturation; (C) Top 20 KEGG pathways enriched for genes down regulated following maturation gene. Figures (B, C) generated by ShinyGO v0.76.3 (64).

The removal of CP from maturation media resulted in differential expression of 77 genes (40 up and 37 down regulated) in post-maturational CC. Gene enrichment analysis indicated that removal of CP led to an upregulation of 27 genes related to lipid, cholesterol and steroid metabolism or biosynthesis processes (Figures 2A, B). Downregulated genes (Figure 2C) were predominantly involved in cellular organization including proliferation, motility, and apoptosis. Many of these genes are responsive to factors expected to be increased in the presence of CP, such as fatty acids (FA), ROS, cytokines, and growth factors (Supplementary Table 1).

FIGURE 2
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Figure 2 Differential transcript expression in cumulus cells following 24 h maturation in the presence or absence of complex proteins (CPs). (A) Network for top 20 enriched pathways for transcripts differentially expressed (i.e., up and down regulated) when CP are removed from IVM media; (B) Hierarchical clustering of top 20 pathways for upregulated transcripts in CP-free media; (C) Hierarchical clustering of top 20 terms for downregulated transcripts in CP free media. Note, in (A) two pathways are connected if they share 20% or more genes. Darker nodes are more significantly enriched; larger nodes contain more transcripts; thicker lines represent more overlapped transcripts. Concerning (B) and (C), pathways with many shared transcripts are clustered together. Larger dots indicate greater statistical significance. Figures generated by ShinyGO v0.76.3 (64).

Changes in post-maturational CC transcript expression were less evident when melatonin was added to IVM media. When melatonin was added in the presence of CP, only 22 genes were differentially expressed (3 up and 19 down regulated). Gene enrichment analysis indicated that many of these genes are involved in immune responses or are cytokine inducible (Supplementary Table 2). Of these 22 genes, 16 (1 up, 15 down regulated) are linked to metabolic functions, pre-dominantly glycolysis (Supplementary Table 3). There was no significant differential expression of transcripts when melatonin was added in the absence of CPs (i.e., -CP+M vs -CP-M). However, relative to the control group (+CP-M), 131 transcripts were differentially expressed when CP was removed and melatonin added (-CP+M). Also, a similar number of differentially expressed transcripts (81) were observed when CPs were removed in the presence of melatonin (-CP+M vs +CP+M). Many of the same genes/gene ontology terms were observed as for the removal of CPs, suggesting a dominant influence of CPs. However, a number of additional gene enrichment terms relating to downregulated genes for -CP+M vs +CP-M or +CP+M were observed. These included hippo, NF-κB and oxytocin signaling, regulation of insulin secretion, and responses to hypoxia (Supplementary Figure 2).

3.3 Removal of CP during IVM alters metabolism and mtDNA copy number in Day 8 blastocysts

We next sought to characterize, non-invasively, glucose and amino acid metabolism of transitioning blastocysts between Days 6 to 8 of development from the analysis of spent culture media. Glucose uptake by embryos during this period did not differ significantly between treatments, although there was an indication that it declined when CP were removed from IVM media (Figure 3A). However, there was a decrease (p = 0.014) in the uptake of two amino acids (aspartate and glutamate) by embryos between Days 6 to 8 when CP were removed from IVM media (Figure 3B). The triglyceride content of Day 8 blastocysts was also determined. However, this did not differ significantly between treatment groups (data not presented).

FIGURE 3
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Figure 3 Embryo metabolism and embryo mitochondrial DNA copy number for oocytes matured in the presence or absence of complex proteins with or without the inclusion of 100 nM melatonin. Glucose (A) and aspartate and glutamate (B) uptake from media between Days 6 to 8 of embryo culture; mitochondrial DNA copy number (ratio of NADH dehydrogenase subunit 4 (ND4): Protein arginine N-methyltransferase 7 (PRMT7)) in euploid (C) and aneuploid (D) Day 8 blastocysts.

To gain an insight into mitochondrial responses during these latter stages of embryo development, DNA was extracted from trophectoderm (TE) cells and mitochondrial DNA (mtDNA) copy number determined by qPCR using primers for the NADH dehydrogenase subunit 4 (ND4) normalized to a single copy-number gene (Protein arginine N-methyltransferase 7 (PRMT7). Interestingly, mitochondrial DNA copy number in TE cells was higher (p = 0.01) in euploid (Figure 3C) but not aneuploid (Figure 3D) Day 8 blastocysts derived from oocytes matured in the absence rather than the presence of CP.

3.4 No evidence that removal of CP affects the incidence of aneuploidy in Day 8 blastocysts

Chromosomal errors were assessed in immuno-dissected TE cells from Day 8 blastocysts by Karyomapping and Gabriel-Griffin plots (which indicate meiotic aneuploidy) and Signal Intensity data (BAF/LRR) which indicate overall aneuploidy (55, 58). Of the 123 TE (across all four treatments) tested, 25 (20.3%) were aneuploid. From these 25 TE, 30 errors were identified, of which whole chromosome errors (trisomy 40.0% [12/30], and monosomy 16.7% [5/30]) were the most common, followed by triploidy/hypotriploidy (26.7% [8/30]) (Table 2A). Neither the type of error identified, nor the incidence of aneuploidy, differed significantly between treatments. However, numerically, the lowest incidence of aneuploidy recorded (15.7%) was for oocytes matured in the presence of CP but without melatonin (i.e., +CP-M). The percentage aneuploidy for the other treatments were: +CP+M (22.2%), -CP-M (23.1%), and -CP+M (20.7%).

TABLE 2
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Table 2 Nature and incidence of chromosomal errors in Day 8 blastocysts.

The parental origin of aneuploidy was identified in all but six cases (Table 2). It was also possible to identify the developmental origin of 18 from 30 errors (in 25 affected TE samples). Of the 12 trisomies (Table 2B), 10 originated during meiosis I, one during meiosis II and one during mitosis. In addition, for 6 triploidies/hypotriploidies, two originated during MI, one during MII and three during mitosis. Finally, the single case of tetrasomy originated during MI. Although most errors occurred during meiosis I (66.7%), errors for the +CP-M group were only identified during either meiosis II or during mitosis.

3.5 Composition of IVM media generates unique patterns of DNA methylation in Day 8 blastocysts

To gain an insight into the epigenetic consequences of removing CP from IVM media, the inner-cell mass (ICM) of Day 8 blastocysts was isolated and analyzed for differential DNA methylation (56) between IVM treatment groups. Analyses revealed differences in CpG methylation for each of the six comparisons between the four IVM treatment groups (Table 3). Interestingly, the number of CpGs that were differentially methylated was similar in magnitude for each comparison, with a similar percentage that either gained or lost methylation.

TABLE 3
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Table 3 Differentially methylated (>10%) cytosine-phosphate-guanine dinucleotide (CpG) counts between the inner-cell mass (ICM) of Day 8 blastocysts derived from oocytes matured in the presence (+CP) or absence (-CP) of complex proteins (CP) with or without the inclusion of melatonin (0 v 100 nM).

Further analysis sought to identify overlapping differentially methylated CpGs between each of the six comparisons for the four IVM treatment groups. This analysis revealed a high number of differentially methylated CpGs for four pairwise comparisons where, in each case, CpG methylation was greater in the primary treatment group compared to the other three (Figure 4A). When presented as a heat map this analysis visually identified sets of relatively ‘hypermethylated’ CpGs unique to each of the four IVM treatment groups (Figures 4B–E).

FIGURE 4
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Figure 4 Overlapping differentially methylated (>10%) CpGs (ranked by number) identifies four pairwise comparisons between each of the four treatment groups with each of the other three treatments (A); and heat maps for each of these pairwise comparisons which, in each case, reveal that the majority of CpG methylation was high in the primary treatment group and low in the other three (B–E). These heat maps present the three biological replicates for each treatment. Analyses were restricted to DNA extracted from the inner-cell mass of pools of five fully expanded blastocysts derived from oocytes matured in the presence (+CP) or absence (-CP) of complex proteins (CP) with (+M) or without (-M) the inclusion of melatonin (0 v 100 nM).

Genes identified within 1000 bases of these uniquely hypermethylated CpGs were next submitted to gene enrichment analysis (GeneTrail 3.2 – https://genetrail.bioinf.uni-sb.de/start.html). ‘Metabolic process’ accounted for approximately one quarter of genes, regardless of treatment, with 23.8%, 25.1%, 28.4% and 23.5% of genes (+CP-M, +CP+M, -CP-M and -CP+M respectively) relating to this term. From these genes, processes unique to the individual treatments were further examined. When CP were removed (i.e. -CP-M), there was enrichment for the terms ‘Catabolic process’ and ‘Lipid metabolic process’, for which many of the genes overlapped, suggesting an influence on lipid catabolism. Terms enriched for the treatment group where both CP and M were present (i.e., +CP+M) included ‘Negative regulation of biosynthetic process’ (from which none of the genes overlapped with the other metabolic term ‘Lipid biosynthesis’). For ‘Lipid biosynthesis’ genes predominantly related to cholesterol, sterol and long-chain fatty acid biosynthesis. Lipid related genes were also identified when CP was removed and M added (i.e., -CP+M treatment group), with enrichment for the term ‘Response to lipid’.”

4 Discussion

A number of important findings emerge from the current study. Importantly, we report that, at least in the context of GV-intact oocytes originating from stimulated (‘coasted’) cycles of OPU, modest yields of transferrable-quality blastocysts can be generated following the complete removal of CP from IVM media. Also, whilst the addition of melatonin to IVM media enhances embryo development in the presence of CP [thereby representing an improvement to standard practice (54, 55, 60)], it impairs embryo development when added in the absence of CP. Interestingly, these interactive effects of CP and melatonin on embryo development do not appear to be mediated by either the nature or incidence of chromosomal errors arising during IVM, as statistically these were unaffected by treatment (Table 2). A more rigorous assessment would require a larger sample size. However, the lack of numerical differences between treatments indicates that any effects, should they exist, are likely to be small. Instead, they most likely arose due to metabolic perturbations occurring within the cumulus-oocyte complex (COC), together with impaired cell-to-cell communication, reduced lipid availability and utilization. At present, this supposition is based primarily on altered global transcript expression in cumulus cells, which indicates that removal of CP from IVM media leads to an increase in molecular pathways associated with sterol (particularly cholesterol) biosynthesis, and a reduction in pathways associated with cell structure, organization and signaling (Figure 2). Anecdotally, it was also noted at the time that the expanded cumulus-oophorus was ‘less coherent’ (i.e., there was a loose association between cumulus cells and the oocyte) following IVM in the absence of CP. In contrast, the inclusion of melatonin to CP supplemented IVM media led to a reduction in expression of transcripts linked to glucose metabolism, primarily glycolysis. Ultimately, the composition of IVM media led to distinct metabolic and epigenetic signatures in fully expanded and hatching/hatched blastocysts, linked to mitochondrial biogenesis and associated glucose, fatty acid and cholesterol metabolism. Collectively, these findings highlight the importance of lipid metabolism (in this instance derived from CP) by the COC during IVM.

4.1 Developmental and metabolic impact of removing complex proteins during IVM

Whilst post-fertilization development to the blastocyst stage was impaired following removal of CP from IVM media in the current study, reasonable yields of Day 8 blastocysts (~53% of presumptive zygotes) were nevertheless obtained. This observation is generally consistent with previous reports on the effects of removing CP (which can come in the form of serum and/or albumin) from IVM media (8185). These studies, however, differ from the current in that they invariably utilized GV-intact oocytes retrieved from non-stimulated abattoir derived ovaries, whereas we recovered GV-intact oocytes from FSH-stimulated (‘coasted’) cycles of OPU. Oocytes originating from such cycles are developmentally more competent (54, 55, 86) having partially undergone cytoplasmic and molecular maturation in vivo prior to aspiration (87, 88). Further variability in responses to CP removal between studies can be attributed to differences in basal maturation medium, origin and inclusion level of albumin and/or serum, nature and inclusion level of alternative macromolecules (e.g., polyvinyl alcohol vs PVP), and presence or absence of different combinations of hormones (e.g., FSH) and growth factors (e.g., EGF).

Complex proteins in the form of serum and albumin comprise numerous but poorly defined components (89) that can aid oocyte maturation (85). Removal of these components, as undertaken in the current study, can therefore provide important insights into their collective function. Here, for example, we report that the absence of CP during IVM leads to an increase in mRNA expression by cumulus cells for processes linked to lipid and sterol metabolism (Figures 2A, B), and a decrease in mRNA expression linked to cellular organization (Figure 2C). Further analyses (ShinyGo v0.76.3) of upregulated transcripts listed in Supplementary Table 1 identified 7 out of 20 (with a >200-fold enrichment) within the KEGG ‘steroid biosynthesis’ pathway. Specifically, these 7 transcripts (FDFT1, SQLE, LSS, CYP51A1, TM7SF2, MSMO1 and NSDHL) occupy 10 consecutive enzymatic steps in the biosynthesis of cholesterol from farnesyl pyrophosphate via 14-demethyl-14-dehydrolanosterol (i.e., follicular fluid meiosis-activating sterol (FF-MAS)); an intermediate in cholesterol biosynthesis that serves to promote meiotic resumption under the influence of FSH (90). Also upregulated in this pathway was DHCR7, which catalyzes the final step of cholesterol biosynthesis. Other notable upregulated transcripts linked to cholesterol uptake and metabolism listed in Supplementary Table 1 include LDLR (endocytosis of cholesterol by the cell), ACLY (conversion of citrate to actetyl-CoA, from which cholesterol is derived via farnesyl pyrophosphate), ACAT2 (esterification of cholesterol), HMGCR (a rate limiting enzyme for cholesterol and isoprenoid synthesis), HMGCS1 (early step in cholesterol biosynthesis involving the condensation of acetyl-CoA with acetoacetyl-CoA), and INSIG1 (involved in SREBP-mediated regulation of cholesterol biosynthesis). Complex proteins therefore serve as a key source of cholesterol for the COC during IVM, removal of which leads to compensatory upregulation of sterol biosynthetic pathways by cumulus cells. Indeed, the absence of serum during IVM is known to reduce intracellular levels of non-polar lipids (including cholesterol) in oocytes (91, 92).

At present, the timing of these metabolic responses during IVM is not defined but, given the important role of oocyte-derived factors such as GDF9 and BMP15 in regulating cholesterol biosynthesis in cumulus cells (93), is likely to coincide with the period leading up to GV-breakdown and expansion of the cumulus oophorus, both of which are initiated between 6-9 h after follicular aspiration (9496). Indeed, a significant amount of trafficking of small molecules and transcripts between cumulus cells and the oocyte occur via intact transzonal projections during this period (97). Nonetheless, metabolic processes and exchange of molecules between cumulus cells and the oocyte, that promote post-fertilization development, continue beyond this stage of maturation (98). Data from the current study, however, can shed no further light on these temporal aspects as the observed decrease in transcripts linked to metabolic processes, and increase in transcripts linked to cell signaling, inflammation and formation of the ECM, occurred over 24 h of IVM (Figure 1).

The decline in embryo development following removal of CP during IVM (Table 1) was matched by metabolic alterations in blastocysts between Days 6 and 8 of culture (Figure 3). Consistent with these findings are reports in the mouse that both glucose and aspartate consumption are reduced in ‘slower’ developing blastocysts, together with transcripts for two glucose transporters (Slc2a1, Slc3a3) and glutamic-oxaloacetic transaminase (Got1) (99). This enzyme is centrally involved in the malate-aspartate shuttle which, in turn, regulates tricarboxylic acid cycle activity within the mitochondrion (100). The increase in mtDNA copy number in chromosomally normal blastocysts (Figure 3C) further points to a potentially ‘programmed’ dysregulation of energy metabolism in embryos derived from oocytes matured in the absence of CP.

4.2 Melatonin and complex proteins interact during IVM to impact embryo development

In contrast to the effects of removing CP, the impact of adding melatonin to IVM media was more subtle, being largely dependent on the presence of CP, and was most apparent at later stages of embryo development (Table 1; Figure 4), although there was an indication that the percentage cleaved following insemination was reduced. The motivation for adding melatonin to our standard IVM media, which contains CP, stemmed from its known actions as a metabolic regulator (44) and antioxidant (38). Melatonin is a natural component of follicular fluid, being derived from both systemic and local sources (51, 101), and its inclusion during IVM in media comparable to our +CP standard has been found to enhance oocyte maturation and embryo development (38, 42, 46).

Reduced rates of cleavage (102) and reduced polyspermy (103) can occur following the addition of melatonin during IVM. This may be due to increased/improved cortical granule distribution which has been observed for oocytes matured in the presence of melatonin (104, 105). Interestingly, incubating sperm with melatonin also reduces its ability to bind to oocytes (106) and leads to lower polyspermy (107), suggesting melatonin may be an important factor in regulating fertilization. The implication is that the improved percentage of Day 6 blastocysts of those that had cleaved following melatonin treatment (Table 1B) may have been a consequence of a reduced number of polyspermic embryos on Day 2, although this remains to be verified.

In the current study, the addition of melatonin to our standard media (i.e., +CP+M vs +CP-M) altered the expression of 22 transcripts in cumulus cells (Supplementary Tables 2, 3). These were mostly linked to immune function and metabolism (particularly glycolysis), and the addition of melatonin downregulated the expression of 20 of these transcripts. Pathway-fold enrichment for six transcripts (i.e., KRT8, KRT18, DSG, PDGFRA, AKAP12 and CSRP3) stood apart from the rest (Supplementary Table 2). The first five of these six transcripts are known to be expressed within the ovarian follicle and are linked to cell proliferation and apoptosis (108111). Their downregulation, therefore, could tentatively be associated with more ‘viable’ and ‘mature’ COCs.

There was no significant effect of melatonin on cumulus-cell transcript expression when it was added to IVM media in the absence of CP (i.e., -CP+M vs -CP-M). In contrast, the expression of 118 transcripts differed between the two treatments that led to the greatest difference in embryo development (i.e., -CP+M vs +CP+M; Table 1). However, as reported earlier, the increase in transcript expression observed following the removal of CP in the presence of melatonin was related mostly to sterol and lipid metabolism. Of the 68 downregulated transcripts, eight overlapped within and between identified KEGG pathways and GO Biological Processes (Supplementary Figures 2C, D). In cumulus cells, these transcripts are linked to cAMP and calcium signaling [PRKACB, RYR2 (112, 113)], mitochondrial metabolism [PDK3, UCP2 (114, 115)], apoptosis [MT1E, FAM162A (116)], and prostaglandin synthesis [PLA2G4A, PTGS2 (117, 118)]. Additionally, four of these transcripts (UCP2, FAM162A, PTGS2, PDK3) were identified as hypoxia inducible. These have been implicated in preferential glycolysis in tumor cells (119122). The addition of melatonin has been shown to inhibit such preferential glycolysis (123), and to reduce proliferation in cancer (124) and granulosa cells (125) in vitro. Interestingly, it has also been shown that this inhibition is less effective (126) or indeed reversed (53) in the presence CP. Whilst these processes are fundamental to the successful maturation of COCs, the link to observed differences in embryo development (Table 1) is tenuous at present given their disparate nature and the limited number of underpinning transcripts.

4.3 The ploidy status of blastocysts is unaffected by the composition of IVM media

Chromosomal abnormalities are a major cause of early embryo loss and pregnancy failure in both humans and cattle (58, 127, 128), and there are concerns that procedures involved in ART could exacerbate their incidence (129). However, ovarian stimulation in cattle, at least using the ‘coasting’ protocol described herein, is not responsible per se for inducing aneuploidy (55). The implication is that, because most errors reported are of meiotic (mostly MI; Table 2) origin (55, 58), and the incidence of aneuploidy is greater for IVP than for in vivo derived embryos (55), a proportion of these errors arise a consequence of ‘stresses’ associated with oocyte recovery (OPU) and/or IVM.

In the current study, 20% of blastocysts harbored some form of chromosomal abnormality; a level comparable to that (14% to 24%) of our previous studies (55, 58). Yet, neither the removal of CP nor the addition of melatonin to IVM media appeared to affect the incidence of aneuploidy; although it could be argued that experimental power wasn’t great enough to provide a robust statistical analysis for this outcome across the four treatment groups. Rather, the increased incidence of aneuploidy associated with these procedures is more likely a consequence of the precocious onset of meiotic resumption in the oocyte upon aspiration from the ovarian follicle (130), combined with fluctuations in the micro-environment (i.e., mechanical stresses, osmolarity, temperature and pH) during processing (129).

4.4 Composition of IVM media determines unique DNA methylation ‘signatures’ in blastocysts

The striking feature to emerge from the analysis of DNA methylation within the ICM of Day 8 blastocysts is the existence of distinct subsets of methylated CpGs specific to each of the four IVM treatment groups (Figure 4). This indicates that modest alterations to the composition of IVM media for GV oocytes transiting to MII prior to fertilization can lead to heritable epigenetic modifications to DNA methylation in fully expanded and hatching blastocysts. Although the experimental conditions and treatments were not similar, such observations are not unprecedented in that elevated concentrations of non-esterified fatty acids during IVM can lead to modified DNA methylation in both bovine and porcine embryos (131, 132).

Considering each of the four treatment combinations in the current study (Figure 4), together with the selected biological processes depicted in Supplementary Table 4, the data indicate that removal of CP and/or addition of melatonin during IVM increase CpG methylation in blastocysts for the genes listed which, in these examples, are associated with lipid metabolism. This observation implies that the associated biological processes portrayed in Supplementary Table 4 are likely to fall under greater epigenetic regulation specific to each IVM treatment. Curiously, CpG methylation was also greater in regulatory regions of genes involved in lipid metabolism for blastocysts derived from heifers undergoing similar OPU procedures to those of the current study (133), suggesting that these metabolic pathways are more precisely regulated epigenetically at this stage of development.

Despite the presence of unique CpG profiles in the current study, there was a degree of overlap between treatments with respect to biological processes, particularly related to lipid metabolism and response to lipids more generally (Supplementary Table 4). Some notable genes associated with differential CpG methylation (Supplementary Table 4), with relatively high fold enrichment, were COQ2 (biosynthesis of CoQ10 involved in the mitochondrial electron transport chain), ACACA (rate limiting enzyme in fatty acid synthesis), HADHB (β-oxidation of long-chain fatty acids within the mitochondrion), LRP6 (LDL endocytosis and WNT signaling), and FOXA1 (DNA-binding chromatin modifier with down-stream links to metabolism). At this juncture, due to the number and dispersal of differentially methylated CpGs, it would be problematic to associate these epigenetic differences in DNA methylation to transcript expression in blastocysts and to subsequent developmental outcomes; this would require more in-depth analyses. Also, the functional significance of the biological processes listed, and genes contained therein, await further investigation.

4.5 Reflections on cytogenetic and epigenetic analyses

A strength of the current study is that immunodissection of Day 8 blastocysts allowed us to undertake both cytogenetic and epigenetic analyses in the same cohort of embryos. We previously reported a high degree of concordance between the TE and ICM in both the nature and incidence of chromosomal errors (55), so that it was not necessary to analyze both lineages. However, there are recognized differences in chromatin organization and CpG methylation (56, 134136), as well as in transcriptional profile (137) between these two lineages, so that lineage separation prior to DNA methylation analyses can be considered a refinement over whole blastocyst analyses which would otherwise confound these differences. As the ICM gives rise to the embryo proper it made sense to prioritize this lineage; an approach adopted by others (e.g., 138). However, greater culture-induced differences in regional CpG methylation were observed in TE than ICM cells in bovine embryos at around Day 7/8 (56) and Day 17 (139), so that IVM-induced epigenetic effects reported in the current study may be an underestimate of the true magnitude across both lineages. Furthermore, the pooling of ICMs required for DNA extraction prior to library preparation prohibited an assessment of the interactive effects of culture and embryo sex on CpG methylation, as reported by others (140). However, ICMs in the current study were pooled from stage-matched blastocysts and the percentage male embryos in our system is consistently around 58%; it appears to be insensitive to interventions such as those reported in the current study (55, 56).

5 Conclusions

In the current study, the absence of CP during IVM led to modest reductions in embryo development, whilst the effect of added melatonin was beneficial in the presence, but detrimental in the absence, of CP. Interactive effects of CP and melatonin on embryo development were not associated with chromosomal errors arising during IVM. Instead, they were mediated in part via modifications to metabolism, predominantly of lipids, by COCs during IVM. This, in turn, resulted in a related metabolic and epigenetic legacy detectable in fully expanded and hatching blastocysts several days later. These outcomes lay the foundation for future studies that seek to develop defined (protein free) systems for the in vitro maturation of mammalian oocytes. They highlight the importance of lipid, particularly sterol, metabolism during this period, and indicate that developmental and epigenetic consequences may persist beyond the point of embryo transfer.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Ethics statement

The animal studies were approved by AWERB, University of Nottingham, Nottingham, NG7 2RD, UK. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author contributions

DT: Conceptualization, Formal Analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. GG-A: Investigation, Writing – review & editing. WK: Investigation, Methodology, Writing – review & editing. RS: Investigation, Methodology, Writing – review & editing. FS: Formal Analysis, Writing – review & editing. GS: Formal Analysis, Methodology, Writing – review & editing. CC-R: Formal Analysis, Writing – review & editing. AH: Methodology, Writing – review & editing. RL: Conceptualization, Methodology, Writing – review & editing. M-AS: Conceptualization, Writing – review & editing. RE: Formal Analysis, Methodology, Writing – review & editing. DG: Formal Analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing. KS: Conceptualization, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing.

Funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. Supported by the Biotechnology and Biological Sciences Research Council (BBSRC) LINK awards scheme (BB/R007985/1; BB/R00708X/1). GG-A was in receipt of a scholarship from the Ministry of Education, Turkey.

Acknowledgments

Ms. Victoria Wright and Dr. Nadine Holmes, School of Life Sciences, University of Nottingham for assistance with RNAseq and with RRBS library preparation. Dr. Dongfang Li, School of Biosciences, University of Nottingham for assistance with amino acid analyses.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were editorial board members of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2023.1280847/full#supplementary-material

References

1. Coticchio G, Dal-Canto M, Guglielmo MC, Mignini-Renzini M, Fadini R. Human oocyte maturation in vitro. Int J Dev Biol (2012) 56(10-12):909–18. doi: 10.1387/ijdb.120135gv

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lonergan P, Fair T. Maturation of oocytes in vitro. Annu Rev Anim Biosci (2016) 4:255–68. doi: 10.1146/annurev-animal-022114-110822

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Fry RC. Gonadotropin priming before OPU: What are the benefits in cows and calves? Theriogenology (2020) 150:236–40. doi: 10.1016/j.theriogenology.2020.01.068

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Trounson A, Anderiesz C, Jones GM, Kausche A, Lolatgis N, Wood C. Oocyte maturation. Hum Reprod (1998) 13(Suppl)3:52–62. doi: 10.1093/humrep/13.suppl_3.52. discussion 71-5.

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Walls ML, Hart RJ. In vitro maturation. Best Pract Res Clin Obstet Gynaecol (2018) 53:60–72. doi: 10.1016/j.bpobgyn.2018.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gong X, Li H, Zhao Y. The improvement and clinical application of human oocyte in vitro maturation (IVM). Reprod Sci (2022) 29(8):2127–35. doi: 10.1007/s43032-021-00613-3

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ahmad MF, Elias MH, Mat Jin N, Abu MA, Syafruddin SE, Zainuddin AA, et al. The spectrum of in vitro maturation in clinical practice: the current insight. Front Endocrinol (Lausanne) (2023) 14:1192180. doi: 10.3389/fendo.2023.1192180

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Vuong LN, Pham TD, Ho TM, De Vos M. Outcomes of clinical in vitro maturation programs for treating infertility in hyper responders: a systematic review. Fertil Steril (2023) 119(4):540–9. doi: 10.1016/j.fertnstert.2023.01.046

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Gilchrist RB, Smitz J. Oocyte in vitro maturation: physiological basis and application to clinical practice. Fertil Steril (2023) 119(4):524–39. doi: 10.1016/j.fertnstert.2023.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

10. De Vos M, Grynberg M, Ho TM, Yuan Y, Albertini DF, Gilchrist RB. Perspectives on the development and future of oocyte IVM in clinical practice. J Assist Reprod Genet (2021) 38(6):1265–80. doi: 10.1007/s10815-021-02263-5

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Khan DR, Landry DA, Fournier É, Vigneault C, Blondin P, Sirard MA. Transcriptome meta-analysis of three follicular compartments and its correlation with ovarian follicle maturity and oocyte developmental competence in cows. Physiol Genomics (2016) 48(8):633–43. doi: 10.1152/physiolgenomics.00050.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Conti M, Franciosi F. Acquisition of oocyte competence to develop as an embryo: integrated nuclear and cytoplasmic events. Hum Reprod Update (2018) 24(3):245–66. doi: 10.1093/humupd/dmx040

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Richani D, Dunning KR, Thompson JG, Gilchrist RB. Metabolic co-dependence of the oocyte and cumulus cells: essential role in determining oocyte developmental competence. Hum Reprod Update (2021) 27(1):27–47. doi: 10.1093/humupd/dmaa043

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yang H, Kolben T, Meister S, Paul C, van Dorp J, Eren S, et al. Factors influencing the in vitro maturation (IVM) of human oocyte. Biomedicines (2021) 9(12):1904. doi: 10.3390/biomedicines9121904

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Buratini J, Soares ACS, Barros RG, Dellaqua TT, Lodde V, Franciosi F, et al. Physiological parameters related to oocyte nuclear differentiation for the improvement of IVM/IVF outcomes in women and cattle. Reprod Fertil Dev (2021) 34(2):27–35. doi: 10.1071/rd21278

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Sutton-McDowall ML, Yelland R, MacMillan KL, Robker RL, Thompson JG. A study relating the composition of follicular fluid and blood plasma from individual Holstein dairy cows to the in vitro developmental competence of pooled abattoir-derived oocytes. Theriogenology (2014) 82(1):95–103. doi: 10.1016/j.theriogenology.2014.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Yuan Y, Spate LD, Redel BK, Tian Y, Zhou J, Prather RS, et al. Quadrupling efficiency in production of genetically modified pigs through improved oocyte maturation. Proc Natl Acad Sci USA (2017) 114(29):E5796–e804. doi: 10.1073/pnas.1703998114

PubMed Abstract | CrossRef Full Text | Google Scholar

18. An L, Liu J, Du Y, Liu Z, Zhang F, Liu Y, et al. Synergistic effect of cysteamine, leukemia inhibitory factor, and Y27632 on goat oocyte maturation and embryo development in vitro. Theriogenology (2018) 108:56–62. doi: 10.1016/j.theriogenology.2017.11.028

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Da Broi MG, Giorgi VSI, Wang F, Keefe DL, Albertini D, Navarro PA. Influence of follicular fluid and cumulus cells on oocyte quality: clinical implications. J Assist Reprod Genet (2018) 35(5):735–51. doi: 10.1007/s10815-018-1143-3

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Conde P, Morado S, Alvarez G, Smitz J, Gentile T, Cetica P. Effect of the hematopoietic growth factors erythropoietin and kit ligand on bovine oocyte in vitro maturation and developmental competence. Theriogenology (2019) 123:37–44. doi: 10.1016/j.theriogenology.2018.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Garcia P, Aspee K, Ramirez G, Dettleff P, Palomino J, Peralta OA, et al. Influence of growth differentiation factor 9 and bone morphogenetic protein 15 on in vitro maturation of canine oocytes. Reprod Domest Anim (2019) 54(2):373–80. doi: 10.1111/rda.13371

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Yang S, Yang Y, Hao H, Du W, Pang Y, Zhao S, et al. Supplementation of EGF, IGF-1, and connexin 37 in IVM medium significantly improved the maturation of bovine oocytes and vitrification of their IVF blastocysts. Genes (Basel) (2022) 13(5):805. doi: 10.3390/genes13050805

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Hennet ML, Combelles CM. The antral follicle: a microenvironment for oocyte differentiation. Int J Dev Biol (2012) 56(10-12):819–31. doi: 10.1387/ijdb.120133cc

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Monget P, McNatty K, Monniaux D. The crazy ovary. Genes (Basel) (2021) 12(6):928. doi: 10.3390/genes12060928

PubMed Abstract | CrossRef Full Text | Google Scholar

25. de Souza-Fabjan JM, Panneau B, Duffard N, Locatelli Y, de Figueiredo JR, Freitas VJ, et al. In vitro production of small ruminant embryos: late improvements and further research. Theriogenology (2014) 81(9):1149–62. doi: 10.1016/j.theriogenology.2014.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Parrish JJ. Bovine in vitro fertilization: in vitro oocyte maturation and sperm capacitation with heparin. Theriogenology (2014) 81(1):67–73. doi: 10.1016/j.theriogenology.2013.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Gil MA, Cuello C, Parrilla I, Vazquez JM, Roca J, Martinez EA. Advances in swine in vitro embryo production technologies. Reprod Domest Anim (2010) 45 Suppl 2:40–8. doi: 10.1111/j.1439-0531.2010.01623.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. van der Valk J, Bieback K, Buta C, Cochrane B, Dirks WG, Fu J, et al. Fetal bovine serum (FBS): past - present - future. Altex (2018) 35(1):99–118. doi: 10.14573/altex.1705101

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Liu X, Lang Q, Wu M, You X, He Q, Luo L, et al. Screening high-quality fetal bovine serum for porcine oocyte maturation in vitro. Anim Model Exp Med (2019) 2(4):334–9. doi: 10.1002/ame2.12095

CrossRef Full Text | Google Scholar

30. Xia H, Vijayaraghavan B, Belák S, Liu L. Detection and identification of the atypical bovine pestiviruses in commercial foetal bovine serum batches. PloS One (2011) 6(12):e28553. doi: 10.1371/journal.pone.0028553

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Young LE, Sinclair KD, Wilmut I. Large offspring syndrome in cattle and sheep. Rev Reprod (1998) 3(3):155–63. doi: 10.1530/ror.0.0030155

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Farin CE, Farin PW, Piedrahita JA. Development of fetuses from in vitro-produced and cloned bovine embryos. J Anim Sci (2004) 82(E-Suppl):E53–62. doi: 10.2527/2004.8213_supplE53x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tanavde VS, Maitra A. In vitro modulation of steroidogenesis and gene expression by melatonin: a study with porcine antral follicles. Endocr Res (2003) 29(4):399–410. doi: 10.1081/erc-120026946

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Webley GE, Luck MR. Melatonin directly stimulates the secretion of progesterone by human and bovine granulosa cells in vitro. J Reprod Fertil (1986) 78(2):711–7. doi: 10.1530/jrf.0.0780711

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Zeebaree BK, Kwong WY, Mann GE, Gutierrez CG, Sinclair KD. Physiological responses of cultured bovine granulosa cells to elevated temperatures under low and high oxygen in the presence of different concentrations of melatonin. Theriogenology (2018) 105:107–14. doi: 10.1016/j.theriogenology.2017.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Fang Y, Deng S, Zhang J, Liu H, Li Y, Zhang X, et al. Melatonin-mediated development of ovine cumulus cells, perhaps by regulation of DNA methylation. Molecules (2018) 23(2):494. doi: 10.3390/molecules23020494

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Pournaghi M, Khodavirdilou R, Saadatlou MAE, Nasimi FS, Yousefi S, Mobarak H, et al. Effect of melatonin on exosomal dynamics in bovine cumulus cells. Process Biochem (2021) 106:78–87. doi: 10.1016/j.procbio.2021.03.008

CrossRef Full Text | Google Scholar

38. El-Raey M, Geshi M, Somfai T, Kaneda M, Hirako M, Abdel-Ghaffar AE, et al. Evidence of melatonin synthesis in the cumulus oocyte complexes and its role in enhancing oocyte maturation in vitro in cattle. Mol Reprod Dev (2011) 78(4):250–62. doi: 10.1002/mrd.21295

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Soto-Heras S, Catalá MG, Roura M, Menéndez-Blanco I, Piras AR, Izquierdo D, et al. Effects of melatonin on oocyte developmental competence and the role of melatonin receptor 1 in juvenile goats. Reprod Domest Anim (2019) 54(2):381–90. doi: 10.1111/rda.13378

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Tong J, Sheng S, Sun Y, Li H, Li WP, Zhang C, et al. Melatonin levels in follicular fluid as markers for IVF outcomes and predicting ovarian reserve. Reproduction (2017) 153(4):443–51. doi: 10.1530/rep-16-0641

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Latif Khan H, Bhatti S, Latif Khan Y, Abbas S, Munir Z, Rahman Khan Sherwani IA, et al. Cell-free nucleic acids and melatonin levels in human follicular fluid predict embryo quality in patients undergoing in-vitro fertilization treatment. J Gynecol Obstet Hum Reprod (2020) 49(1):101624. doi: 10.1016/j.jogoh.2019.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

42. An Q, Peng W, Cheng Y, Lu Z, Zhou C, Zhang Y, et al. Melatonin supplementation during in vitro maturation of oocyte enhances subsequent development of bovine cloned embryos. J Cell Physiol (2019) 234(10):17370–81. doi: 10.1002/jcp.28357

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Jin JX, Lee S, Taweechaipaisankul A, Kim GA, Lee BC. Melatonin regulates lipid metabolism in porcine oocytes. J Pineal Res (2017) 62(2):e12388. doi: 10.1111/jpi.12388

CrossRef Full Text | Google Scholar

44. He B, Yin C, Gong Y, Liu J, Guo H, Zhao R. Melatonin-induced increase of lipid droplets accumulation and in vitro maturation in porcine oocytes is mediated by mitochondrial quiescence. J Cell Physiol (2018) 233(1):302–12. doi: 10.1002/jcp.25876

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Yang L, Wang Q, Cui M, Li Q, Mu S, Zhao Z. Effect of melatonin on the in vitro maturation of porcine oocytes, development of parthenogenetically activated embryos, and expression of genes related to the oocyte developmental capability. Anim (Basel) (2020) 10(2):209. doi: 10.3390/ani10020209

CrossRef Full Text | Google Scholar

46. Gutiérrez-Añez JC, Lucas-Hahn A, Hadeler KG, Aldag P, Niemann H. Melatonin enhances in vitro developmental competence of cumulus-oocyte complexes collected by ovum pick-up in prepubertal and adult dairy cattle. Theriogenology (2021) 161:285–93. doi: 10.1016/j.theriogenology.2020.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Zou H, Chen B, Ding D, Gao M, Chen D, Liu Y, et al. Melatonin promotes the development of immature oocytes from the COH cycle into healthy offspring by protecting mitochondrial function. J Pineal Res (2020) 68(1):e12621. doi: 10.1111/jpi.12621

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Li Y, Liu H, Wu K, Liu H, Huang T, Chen ZJ, et al. Melatonin promotes human oocyte maturation and early embryo development by enhancing clathrin-mediated endocytosis. J Pineal Res (2019) 67(3):e12601. doi: 10.1111/jpi.12601

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Tamura H, Nakamura Y, Korkmaz A, Manchester LC, Tan DX, Sugino N, et al. Melatonin and the ovary: physiological and pathophysiological implications. Fertil Steril (2009) 92(1):328–43. doi: 10.1016/j.fertnstert.2008.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Li H, Liu M, Zhang C. Women with polycystic ovary syndrome (PCOS) have reduced melatonin concentrations in their follicles and have mild sleep disturbances. BMC Womens Health (2022) 22(1):79. doi: 10.1186/s12905-022-01661-w

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kim MK, Park EA, Kim HJ, Choi WY, Cho JH, Lee WS, et al. Does supplementation of in-vitro culture medium with melatonin improve IVF outcome in PCOS? Reprod BioMed Online (2013) 26(1):22–9. doi: 10.1016/j.rbmo.2012.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Radogna F, Paternoster L, Albertini MC, Accorsi A, Cerella C, D’Alessio M, et al. Melatonin as an apoptosis antagonist. Ann N Y Acad Sci (2006) 1090:226–33. doi: 10.1196/annals.1378.025

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Bonmati-Carrion MA, Alvarez-Sánchez N, Hardeland R, Madrid JA, Rol MA. A comparison of B16 melanoma cells and 3T3 fibroblasts concerning cell viability and ROS production in the presence of melatonin, tested over a wide range of concentrations. Int J Mol Sci (2013) 14(2):3901–20. doi: 10.3390/ijms14023901

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Nivet AL, Bunel A, Labrecque R, Belanger J, Vigneault C, Blondin P, et al. FSH withdrawal improves developmental competence of oocytes in the bovine model. Reproduction (2012) 143(2):165–71. doi: 10.1530/rep-11-0391

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Tutt DAR, Silvestri G, Serrano-Albal M, Simmons RJ, Kwong WY, Guven-Ates G, et al. Analysis of bovine blastocysts indicates ovarian stimulation does not induce chromosome errors, nor discordance between inner-cell mass and trophectoderm lineages. Theriogenology (2021) 161:108–19. doi: 10.1016/j.theriogenology.2020.11.021

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Clare CE, Pestinger V, Kwong WY, Tutt DAR, Xu J, Byrne HM, et al. Interspecific variation in one-carbon metabolism within the ovarian follicle, oocyte, and preimplantation embryo: consequences for epigenetic programming of DNA methylation. Int J Mol Sci (2021) 22(4):1838. doi: 10.3390/ijms22041838

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Sinclair KD, Rutherford KM, Wallace JM, Brameld JM, Stöger R, Alberio R, et al. Epigenetics and developmental programming of welfare and production traits in farm animals. Reprod Fertil Dev (2016) 28(10):1446–78. doi: 10.1071/rd16102

CrossRef Full Text | Google Scholar

58. Silvestri G, Canedo-Ribeiro C, Serrano-Albal M, Labrecque R, Blondin P, Larmer SG, et al. Preimplantation genetic testing for aneuploidy improves live birth rates with in vitro produced bovine embryos: A blind retrospective study. Cells (2021) 10(9):2284. doi: 10.3390/cells10092284

PubMed Abstract | CrossRef Full Text | Google Scholar

59. NRC I. Nutrient requirements of dairy cattle Vol. 519. Washington, DC: The National Academies Press (2001). doi: 10.17226/9825

CrossRef Full Text | Google Scholar

60. Simmons R, Tutt DA, Guven-Ates G, Kwong WY, Labrecque R, Randi F, et al. Enhanced progesterone support during stimulated cycles of transvaginal follicular aspiration improves bovine in vitro embryo production. Theriogenology (2023) 199:77–85. doi: 10.1016/j.theriogenology.2023.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Goodhand KL, Watt RG, Staines ME, Hutchinson JS, Broadbent PJ. In vivo oocyte recovery and in vitro embryo production from bovine donors aspirated at different frequencies or following FSH treatment. Theriogenology (1999) 51(5):951–61. doi: 10.1016/s0093-691x(99)00041-2

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Sinclair KD, Lunn LA, Kwong WY, Wonnacott K, Linforth RS, Craigon J. Amino acid and fatty acid composition of follicular fluid as predictors of in-vitro embryo development. Reprod BioMed Online (2008) 16(6):859–68. doi: 10.1016/s1472-6483(10)60153-8

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Stringfellow DA, Givens MD, International Embryo Transfer Society. Manual of the International Embryo Transfer Society: a procedural guide and general information for the use of embryo transfer technology emphasizing sanitary procedures. 4th ed. Savory, Ill: International Embryo Transfer Society (2010).

Google Scholar

64. Ge SX, Jung D, Yao R. ShinyGO: a graphical gene-set enrichment tool for animals and plants. Bioinformatics (2019) 36(8):2628–9. doi: 10.1093/bioinformatics/btz931

CrossRef Full Text | Google Scholar

65. Warnes G, Bolker B, Bonebakker L, Gentleman R, Huber W, Liaw A, et al. Gplots: various R programming tools for plotting data. R package version 3.0. 1. Burlington, MA, USA. (2016), Reference Source.

Google Scholar

66. Handyside AH, Harton GL, Mariani B, Thornhill AR, Affara N, Shaw MA, et al. Karyomapping: a universal method for genome wide analysis of genetic disease based on mapping crossovers between parental haplotypes. J Med Genet (2010) 47(10):651–8. doi: 10.1136/jmg.2009.069971

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Gabriel AS, Hassold TJ, Thornhill AR, Affara NA, Handyside AH, Griffin DK. An algorithm for determining the origin of trisomy and the positions of chiasmata from SNP genotype data. Chromosome Res (2011) 19(2):155–63. doi: 10.1007/s10577-010-9181-4

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Guo W, Fiziev P, Yan W, Cokus S, Sun X, Zhang MQ, et al. BS-Seeker2: a versatile aligning pipeline for bisulfite sequencing data. BMC Genomics (2013) 14:774. doi: 10.1186/1471-2164-14-774

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Jiang H, Lei R, Ding SW, Zhu S. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinf (2014) 15:182. doi: 10.1186/1471-2105-15-182

CrossRef Full Text | Google Scholar

70. Krueger F, Andrews SR. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics (2011) 27(11):1571–2. doi: 10.1093/bioinformatics/btr167

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Akalin A, Kormaksson M, Li S, Garrett-Bakelman FE, Figueroa ME, Melnick A, et al. methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles. Genome Biol (2012) 13(10):R87. doi: 10.1186/gb-2012-13-10-r87

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Ly L, Chan D, Landry M, Angle C, Martel J, Trasler J. Impact of mothers’ early life exposure to low or high folate on progeny outcome and DNA methylation patterns. Environ Epigenet (2020) 6(1):dvaa018. doi: 10.1093/eep/dvaa018

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Oluwayiose OA, Marcho C, Wu H, Houle E, Krawetz SA, Suvorov A, et al. Paternal preconception phthalate exposure alters sperm methylome and embryonic programming. Environ Int (2021) 155:106693. doi: 10.1016/j.envint.2021.106693

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Chan D, Ly L, Rebolledo EMD, Martel J, Landry M, Scott-Boyer MP, et al. Transgenerational impact of grand-paternal lifetime exposures to both folic acid deficiency and supplementation on genome-wide DNA methylation in male germ cells. Andrology (2023) 11(5):927–42. doi: 10.1111/andr.13399

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res (2015) 43(7):e47. doi: 10.1093/nar/gkv007

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Akalin A, Franke V, Vlahoviček K, Mason CE, Schübeler D. Genomation: a toolkit to summarize, annotate and visualize genomic intervals. Bioinformatics (2015) 31(7):1127–9. doi: 10.1093/bioinformatics/btu775

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Gerstner N, Kehl T, Lenhof K, Müller A, Mayer C, Eckhart L, et al. GeneTrail 3: advanced high-throughput enrichment analysis. Nucleic Acids Res (2020) 48(W1):W515–w20. doi: 10.1093/nar/gkaa306

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Ann Stat (2001) 29(4):1165–88, 24. doi: 10.1214/aos/1013699998

CrossRef Full Text | Google Scholar

79. Kanakkaparambil R, Singh R, Li D, Webb R, Sinclair KD. B-vitamin and homocysteine status determines ovarian response to gonadotropin treatment in sheep. Biol Reprod (2009) 80(4):743–52. doi: 10.1095/biolreprod.108.072074

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Kwong WY, Adamiak SJ, Gwynn A, Singh R, Sinclair KD. Endogenous folates and single-carbon metabolism in the ovarian follicle, oocyte and pre-implantation embryo. Reproduction (2010) 139(4):705–15. doi: 10.1530/rep-09-0517

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Ali A, Sirard MA. Effect of the absence or presence of various protein supplements on further development of bovine oocytes during in vitro maturation. Biol Reprod (2002) 66(4):901–5. doi: 10.1095/biolreprod66.4.901

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Wydooghe E, Heras S, Dewulf J, Piepers S, Van den Abbeel E, De Sutter P, et al. Replacing serum in culture medium with albumin and insulin, transferrin and selenium is the key to successful bovine embryo development in individual culture. Reprod Fertil Dev (2014) 26(5):717–24. doi: 10.1071/rd13043

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Del Collado M, Saraiva NZ, Lopes FL, Gaspar RC, Padilha LC, Costa RR, et al. Influence of bovine serum albumin and fetal bovine serum supplementation during in vitro maturation on lipid and mitochondrial behaviour in oocytes and lipid accumulation in bovine embryos. Reprod Fertil Dev (2015) 28(11):1721–32. doi: 10.1071/rd15067

CrossRef Full Text | Google Scholar

84. Arias ME, Vargas T, Gallardo V, Aguila L, Felmer R. Simple and efficient chemically defined in vitro maturation and embryo culture system for bovine embryos. Anim (Basel) (2022) 12(21):3057. doi: 10.3390/ani12213057

CrossRef Full Text | Google Scholar

85. Şen U, Şirin E, Önder H, Özyürek S, Kolenda M, Sitkowska B. Macromolecules influence cellular competence and expression level of IGFs genes in bovine oocytes in vitro. Animals (2022) 12(19):2604. doi: 10.3390/ani12192604

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Blondin P, Bousquet D, Twagiramungu H, Barnes F, Sirard MA. Manipulation of follicular development to produce developmentally competent bovine oocytes. Biol Reprod (2002) 66(1):38–43. doi: 10.1095/biolreprod66.1.38

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Luciano AM, Sirard MA. Successful in vitro maturation of oocytes: a matter of follicular differentiation. Biol Reprod (2018) 98(2):162–9. doi: 10.1093/biolre/iox149

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Sirard MA. Folliculogenesis and acquisition of oocyte competence in cows. Anim Reprod (2019) 16(3):449–54. doi: 10.21451/1984-3143-ar2019-0038

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Zheng X, Baker H, Hancock WS, Fawaz F, McCaman M, Pungor E Jr. Proteomic analysis for the assessment of different lots of fetal bovine serum as a raw material for cell culture. Part IV. Application of proteomics to the manufacture of biological drugs. Biotechnol Prog (2006) 22(5):1294–300. doi: 10.1021/bp060121o

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Liu T, Qu J, Tian M, Yang R, Song X, Li R, et al. Lipid metabolic process involved in oocyte maturation during folliculogenesis. Front Cell Dev Biol (2022) 10:806890. doi: 10.3389/fcell.2022.806890

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Shi M, Sirard MA. Metabolism of fatty acids in follicular cells, oocytes, and blastocysts. Reprod Fertil (2022) 3(2):R96–r108. doi: 10.1530/raf-21-0123

PubMed Abstract | CrossRef Full Text | Google Scholar

92. de Lima CB, Barbosa GZ, Ispada J, Dos Santos EC, Milazzotto MP. Lipid availability during in vitro maturation alters oocyte lipid content and blastocyst development and metabolism. Reprod Domest Anim (2023) 58(7):920–8. doi: 10.1111/rda.14367

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Su YQ, Sugiura K, Wigglesworth K, O’Brien MJ, Affourtit JP, Pangas SA, et al. Oocyte regulation of metabolic cooperativity between mouse cumulus cells and oocytes: BMP15 and GDF9 control cholesterol biosynthesis in cumulus cells. Development (2008) 135(1):111–21. doi: 10.1242/dev.009068

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Hyttel P. Bovine cumulus-oocyte disconnection in vitro. Anat Embryol (Berl) (1987) 176(1):41–4. doi: 10.1007/bf00309750

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Sirard MA, Florman HM, Leibfried-Rutledge ML, Barnes FL, Sims ML, First NL. Timing of nuclear progression and protein synthesis necessary for meiotic maturation of bovine oocytes. Biol Reprod (1989) 40(6):1257–63. doi: 10.1095/biolreprod40.6.1257

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Allworth AE, Albertini DF. Meiotic maturation in cultured bovine oocytes is accompanied by remodeling of the cumulus cell cytoskeleton. Dev Biol (1993) 158(1):101–12. doi: 10.1006/dbio.1993.1171

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Macaulay AD, Gilbert I, Scantland S, Fournier E, Ashkar F, Bastien A, et al. Cumulus cell transcripts transit to the bovine oocyte in preparation for maturation. Biol Reprod (2016) 94(1):16. doi: 10.1095/biolreprod.114.127571

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Uhde K, van Tol HTA, Stout TAE, Roelen BAJ. Metabolomic profiles of bovine cumulus cells and cumulus-oocyte-complex-conditioned medium during maturation in vitro. Sci Rep (2018) 8(1):9477. doi: 10.1038/s41598-018-27829-9

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Lee YSL, Gardner DK. Early cleaving embryos result in blastocysts with increased aspartate and glucose consumption, which exhibit different metabolic gene expression that persists in placental and fetal tissues. J Assist Reprod Genet (2021) 38(12):3099–111. doi: 10.1007/s10815-021-02341-8

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Lane M, Gardner DK. Mitochondrial malate-aspartate shuttle regulates mouse embryo nutrient consumption. J Biol Chem (2005) 280(18):18361–7. doi: 10.1074/jbc.M500174200

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Itoh MT, Ishizuka B, Kuribayashi Y, Amemiya A, Sumi Y. Melatonin, its precursors, and synthesizing enzyme activities in the human ovary. Mol Hum Reprod (1999) 5(5):402–8. doi: 10.1093/molehr/5.5.402

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Lane RL, Whitaker BD. Melatonin and tannic acid supplementation in vitro improve fertilization and embryonic development in pigs. Anim Reprod (2018) 15(2):118–23. doi: 10.21451/1984-3143-AR2016-937

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Currin L, Glanzner WG, Gutierrez K, de Macedo MP, Guay V, Baldassarre H, et al. Optimizing swine in vitro embryo production with growth factor and antioxidant supplementation during oocyte maturation. Theriogenology (2022) 194:133–43. doi: 10.1016/j.theriogenology.2022.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Pang Y, Zhao S, Sun Y, Jiang X, Hao H, Du W, et al. Protective effects of melatonin on the in vitro developmental competence of bovine oocytes. Anim Sci J (2018) 89(4):648–60. doi: 10.1111/asj.12970

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Jiang Q, Qi X, Ding C, Liu X, Lei Y, Li S, et al. Melatonin rescues dimethoate exposure-induced meiotic and developmental defects of porcine oocytes. Animals (2022) 12:832. doi: 10.3390/ani12070832

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Rocco M, Betarelli R, Placci A, Fernández-Novell JM, Spinaci M, Casao A, et al. Melatonin affects the motility and adhesiveness of in vitro capacitated boar spermatozoa via a mechanism that does not depend on intracellular ROS levels. Andrology (2018) 6:720–36. doi: 10.1111/andr.12504

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Gutiérrez-Añez JC, Henning H, Lucas-Hahn A, Baulain U, Aldag P, Sieg B, et al. Melatonin improves rate of monospermic fertilization and early embryo development in a bovine IVF system. PloS One (2021) 16(9):e0256701. doi: 10.1371/journal.pone.0256701

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Douville G, Sirard MA. Changes in granulosa cells gene expression associated with growth, plateau and atretic phases in medium bovine follicles. J Ovarian Res (2014) 7:50. doi: 10.1186/1757-2215-7-50

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Chermuła B, Hutchings G, Kranc W, Józkowiak M, Jopek K, Stelmach B, et al. Expression profile of new gene markers and signaling pathways involved in immunological processes in human cumulus-oophorus cells. Genes (Basel) (2021) 12(9):1369. doi: 10.3390/genes12091369

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Liu Q, Li Y, Feng Y, Liu C, Ma J, Li Y, et al. Single-cell analysis of differences in transcriptomic profiles of oocytes and cumulus cells at GV, MI, MII stages from PCOS patients. Sci Rep (2016) 6:39638. doi: 10.1038/srep39638

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Gaytan F, Morales C, Roa J, Tena-Sempere M. Changes in keratin 8/18 expression in human granulosa cell lineage are associated to cell death/survival events: potential implications for the maintenance of the ovarian reserve. Hum Reprod (2018) 33(4):680–9. doi: 10.1093/humrep/dey010

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Grøndahl ML, Andersen CY, Bogstad J, Borgbo T, Boujida VH, Borup R. Specific genes are selectively expressed between cumulus and granulosa cells from individual human pre-ovulatory follicles. Mol Hum Reprod (2012) 18(12):572–84. doi: 10.1093/molehr/gas035

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Vanselow J, Vernunft A, Koczan D, Spitschak M, Kuhla B. Exposure of lactating dairy cows to acute pre-ovulatory heat stress affects granulosa cell-specific gene expression profiles in dominant follicles. PloS One (2016) 11(8):e0160600. doi: 10.1371/journal.pone.0160600

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Ge H, Zhang F, Duan P, Zhu N, Zhang J, Ye F, et al. Mitochondrial Uncoupling Protein 2 in human cumulus cells is associated with regulating autophagy and apoptosis, maintaining gap junction integrity and progesterone synthesis. Mol Cell Endocrinol (2017) 443:128–37. doi: 10.1016/j.mce.2017.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Guo J, Min CG, Zhang KY, Zhan CL, Wang YC, Hou SK, et al. Tetrabromobisphenol exposure impairs bovine oocyte maturation by inducing mitochondrial dysfunction. Molecules (2022) 27(22):8111. doi: 10.3390/molecules27228111

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Ticianelli JS, Emanuelli IP, Satrapa RA, Castilho ACS, Loureiro B, Sudano MJ, et al. Gene expression profile in heat-shocked Holstein and Nelore oocytes and cumulus cells. Reprod Fertil Dev (2017) 29(9):1787–802. doi: 10.1071/rd16154

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Diouf MN, Sayasith K, Lefebvre R, Silversides DW, Sirois J, Lussier JG. Expression of phospholipase A2 group IVA (PLA2G4A) is upregulated by human chorionic gonadotropin in bovine granulosa cells of ovulatory follicles. Biol Reprod (2006) 74(6):1096–103. doi: 10.1095/biolreprod.105.048579

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Buratini J, Dellaqua TT, de Lima PF, Renzini MM, Canto MD, Price CA. Oocyte secreted factors control genes regulating FSH signaling and the maturation cascade in cumulus cells: the oocyte is not in a hurry. J Assist Reprod Genet (2023) 40(8):1961–71. doi: 10.1007/s10815-023-02822-y

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Wang M, Li G, Yang Z, Wang L, Zhang L, Wang T, et al. Uncoupling protein 2 downregulation by hypoxia through repression of peroxisome proliferator-activated receptor γ promotes chemoresistance of non-small cell lung cancer. Oncotarget (2017) 8(5):8083–94. doi: 10.18632/oncotarget.14097

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Liu G, Wu X, Chen J. Identification and validation of a glycolysis-related gene signature for depicting clinical characteristics and its relationship with tumor immunity in patients with colon cancer. Aging (Albany NY) (2022) 14(21):8700–18. doi: 10.18632/aging.204226

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Zhang L, Li S, Li L, Chen Z, Yang Y. COX−2 inhibition in the endothelium induces glucose metabolism normalization and impairs tumor progression. Mol Med Rep (2018) 17(2):2937–44. doi: 10.3892/mmr.2017.8270

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Lu CW, Lin SC, Chen KF, Lai YY, Tsai SJ. Induction of pyruvate dehydrogenase kinase-3 by hypoxia-inducible factor-1 promotes metabolic switch and drug resistance. J Biol Chem (2008) 283(42):28106–14. doi: 10.1074/jbc.M803508200

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Reiter RJ, Sharma R, Ma Q. Switching diseased cells from cytosolic aerobic glycolysis to mitochondrial oxidative phosphorylation: A metabolic rhythm regulated by melatonin? J Pineal Res (2021) 70(1):e12677. doi: 10.1111/jpi.12677

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Talib WH, Alsayed AR, Abuawad A, Daoud S, Mahmod AI. Melatonin in cancer treatment: current knowledge and future opportunities. Molecules (2021) 26(9):2506. doi: 10.3390/molecules26092506

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Arjoune A, Sirard M-A. Melatonin signaling pathways implicated in metabolic processes in human granulosa cells (KGN). Int J Mol Sci (2022) 23(6):2988. doi: 10.3390/ijms23062988

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Fischer TW, Zmijewski MA, Zbytek B, Sweatman TW, Slominski RM, Wortsman J, et al. Oncostatic effects of the indole melatonin and expression of its cytosolic and nuclear receptors in cultured human melanoma cell lines. Int J Oncol (2006) 29(3):665–72. doi: 10.3892/ijo.29.3.665

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Levy B, Sigurjonsson S, Pettersen B, Maisenbacher MK, Hall MP, Demko Z, et al. Genomic imbalance in products of conception: single-nucleotide polymorphism chromosomal microarray analysis. Obstet Gynecol (2014) 124(2 Pt 1):202–9. doi: 10.1097/aog.0000000000000325

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Griffin DK, Ogur C. Chromosomal analysis in IVF: just how useful is it? Reproduction (2018) 156(1):F29–f50. doi: 10.1530/rep-17-0683

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Swain JE. Controversies in ART: can the IVF laboratory influence preimplantation embryo aneuploidy? Reprod BioMed Online (2019) 39(4):599–607. doi: 10.1016/j.rbmo.2019.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Charalambous C, Webster A, Schuh M. Aneuploidy in mammalian oocytes and the impact of maternal ageing. Nat Rev Mol Cell Biol (2023) 24(1):27–44. doi: 10.1038/s41580-022-00517-3

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Desmet KL, Van Hoeck V, Gagné D, Fournier E, Thakur A, O’Doherty AM, et al. Exposure of bovine oocytes and embryos to elevated non-esterified fatty acid concentrations: integration of epigenetic and transcriptomic signatures in resultant blastocysts. BMC Genomics (2016) 17(1):1004. doi: 10.1186/s12864-016-3366-y

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Shi M, Sirard MA. Transcriptome and epigenome analysis of porcine embryos from non-esterified fatty acid-exposed oocytes. Domest Anim Endocrinol (2021) 76:106605. doi: 10.1016/j.domaniend.2021.106605

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Morin-Doré L, Blondin P, Vigneault C, Grand FX, Labrecque R, Sirard MA. DNA methylation status of bovine blastocysts obtained from peripubertal oocyte donors. Mol Reprod Dev (2020) 87(8):910–24. doi: 10.1002/mrd.23399

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Nakanishi MO, Hayakawa K, Nakabayashi K, Hata K, Shiota K, Tanaka S. Trophoblast-specific DNA methylation occurs after the segregation of the trophectoderm and inner cell mass in the mouse periimplantation embryo. Epigenetics (2012) 7(2):173–82. doi: 10.4161/epi.7.2.18962

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Herrmann D, Dahl JA, Lucas-Hahn A, Collas P, Niemann H. Histone modifications and mRNA expression in the inner cell mass and trophectoderm of bovine blastocysts. Epigenetics (2013) 8(3):281–9. doi: 10.4161/epi.23899

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Wang Y, Yuan P, Yan Z, Yang M, Huo Y, Nie Y, et al. Single-cell multiomics sequencing reveals the functional regulatory landscape of early embryos. Nat Commun (2021) 12(1):1247. doi: 10.1038/s41467-021-21409-8

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Hosseini SM, Dufort I, Caballero J, Moulavi F, Ghanaei HR, Sirard MA. Transcriptome profiling of bovine inner cell mass and trophectoderm derived from in vivo generated blastocysts. BMC Dev Biol (2015) 15:49. doi: 10.1186/s12861-015-0096-3

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Ruggeri E, Lira-Albarrán S, Grow EJ, Liu X, Harner R, Maltepe E, et al. Sex-specific epigenetic profile of inner cell mass of mice conceived in vivo or by IVF. Mol Hum Reprod (2020) 26(11):866–78. doi: 10.1093/molehr/gaaa064

PubMed Abstract | CrossRef Full Text | Google Scholar

139. O’Doherty AM, McGettigan P, Irwin RE, Magee DA, Gagne D, Fournier E, et al. Intragenic sequences in the trophectoderm harbour the greatest proportion of methylation errors in day 17 bovine conceptuses generated using assisted reproductive technologies. BMC Genomics (2018) 19(1):438. doi: 10.1186/s12864-018-4818-3

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Canovas S, Ivanova E, Hamdi M, Perez-Sanz F, Rizos D, Kelsey G, et al. Culture medium and sex drive epigenetic reprogramming in preimplantation bovine embryos. Int J Mol Sci (2021) 22(12):6426. doi: 10.3390/ijms22126426

PubMed Abstract | CrossRef Full Text | Google Scholar

Appendix A

Supplementary data.

Keywords: oocyte, aneuploidy, DNA methylation, IVM, serum, melatonin, cumulus cells, blastocyst

Citation: Tutt DAR, Guven-Ates G, Kwong WY, Simmons R, Sang F, Silvestri G, Canedo-Ribeiro C, Handyside AH, Labrecque R, Sirard M-A, Emes RD, Griffin DK and Sinclair KD (2023) Developmental, cytogenetic and epigenetic consequences of removing complex proteins and adding melatonin during in vitro maturation of bovine oocytes. Front. Endocrinol. 14:1280847. doi: 10.3389/fendo.2023.1280847

Received: 21 August 2023; Accepted: 02 October 2023;
Published: 23 October 2023.

Edited by:

Raquel Romar, University of Murcia, Spain

Reviewed by:

Christopher Grupen, The University of Sydney, Australia
Jose Buratini, Biogenesi, Italy

Copyright © 2023 Tutt, Guven-Ates, Kwong, Simmons, Sang, Silvestri, Canedo-Ribeiro, Handyside, Labrecque, Sirard, Emes, Griffin and Sinclair. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kevin D. Sinclair, a2V2aW4uc2luY2xhaXJAbm90dGluZ2hhbS5hYy51aw==

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